Agents are now first-class developers

When we started kourier.sh, the goal was clear: build an inference endpoint that treats AI agents as the primary users. Not as a power-user feature, not as a developer-experience nicety, but as the architectural center of gravity.

What changed

For the last three years, AI tooling has focused on helping developers write code faster. Autocomplete, chat, code review. The pattern is consistent: a human drives, AI assists.

That pattern is breaking. Agents now run multi-step workflows against production systems. They don't just suggest code — they call APIs, manage state, and ship features while the human sleeps.

What this means for an inference endpoint

An endpoint optimized for AI-assisted development has different shapes than one optimized for AI-driven development:

• One OpenAI-compatible surface. Agents don't read your docs to figure out a custom schema — they speak the OpenAI chat completions format. Point the base URL at us, set the key, the same code runs.
• Open models, open weights. Agents (and the humans who own them) should never be locked into a single provider. Every model we serve has public weights and a permissive license.
• RSS over push notifications. Agents subscribe to changelog feeds via RSS. No vendor lock-in, no notification fan-out, no email digest.

The wedge

Open models, one endpoint, simple plans — is not a slogan. It's an operational commitment: every primitive in kourier.sh is shaped to be called by an agent. The marketing site you're reading right now is built on the same principle.

If your agents don't ship faster on kourier.sh within the first 14 days, email us for a full refund.